Machel Reid | DeepAI

DeepAI AI Chat

Featured Co-authors

Graham Neubig
243 publications
Luke Zettlemoyer
160 publications
Hannaneh Hajishirzi
102 publications
Sebastian Ruder
68 publications
Yulia Tsvetkov
64 publications
Junjie Hu
59 publications
Yutaka Matsuo
57 publications
Xinyi Wang
52 publications
Mikel Artetxe
41 publications
Shixiang Shane Gu
27 publications
Jonas Pfeiffer
27 publications

∙ 05/24/2023

BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer

Despite remarkable advancements in few-shot generalization in natural la...

0 Akari Asai, et al. ∙

∙ 05/23/2023

mmT5: Modular Multilingual Pre-Training Solves Source Language Hallucinations

Multilingual sequence-to-sequence models perform poorly with increased l...

0 Jonas Pfeiffer, et al. ∙

∙ 12/20/2022

On the Role of Parallel Data in Cross-lingual Transfer Learning

While prior work has established that the use of parallel data is conduc...

0 Machel Reid, et al. ∙

∙ 10/30/2022

DiffusER: Discrete Diffusion via Edit-based Reconstruction

In text generation, models that generate text from scratch one token at ...

0 Machel Reid, et al. ∙

∙ 10/13/2022

M2D2: A Massively Multi-domain Language Modeling Dataset

We present M2D2, a fine-grained, massively multi-domain corpus for study...

0 Machel Reid, et al. ∙

∙ 05/24/2022

Learning to Model Editing Processes

Most existing sequence generation models produce outputs in one pass, us...

0 Machel Reid, et al. ∙

∙ 05/24/2022

Large Language Models are Zero-Shot Reasoners

Pretrained large language models (LLMs) are widely used in many sub-fiel...

0 Takeshi Kojima, et al. ∙

∙ 01/28/2022

Can Wikipedia Help Offline Reinforcement Learning?

Fine-tuning reinforcement learning (RL) models has been challenging beca...

0 Machel Reid, et al. ∙

∙ 09/10/2021

AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages

Reproducible benchmarks are crucial in driving progress of machine trans...

0 Machel Reid, et al. ∙

∙ 08/04/2021

PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining

Despite the success of multilingual sequence-to-sequence pretraining, mo...

0 Machel Reid, et al. ∙

∙ 05/18/2021

LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer

Many types of text style transfer can be achieved with only small, preci...

0 Machel Reid, et al. ∙

∙ 01/01/2021

Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers

The advent of the Transformer can arguably be described as a driving for...

0 Machel Reid, et al. ∙

∙ 10/07/2020

VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling

In this paper, we tackle the task of definition modeling, where the goal...

0 Machel Reid, et al. ∙

∙ 04/20/2020

Variational Inference for Learning Representations of Natural Language Edits

Document editing has become a pervasive component of production of infor...

0 Edison Marrese-Taylor, et al. ∙

∙ 03/09/2020

Combining Pretrained High-Resource Embeddings and Subword Representations for Low-Resource Languages

The contrast between the need for large amounts of data for current Natu...

0 Machel Reid, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world